Multiple regression equation relating expected travel cost

Reference no: EM13127356

Accounts at the firm Walker and Walker believed that several traveling executives submit unusually high travel vouchers when they return from business trips. The accountants took a sample of 200 vouchers submitted from the past year; they then developed the following multiple regression equation relating expected travel cost (Y) number of days, (Y (x1) ) number of days on the road and distance traveled (X2). Y=$90.00 + $48.50x1 + $0.40X2 The coefficient of correlation computed was 0.68.

Reference no: EM13127356

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